Evidence map›Paper›PMID 40263220›Full record

ReviewCurrent environmental health reports2025

A Narrative Review of Spatial-Temporal Data Sources for Estimating Population-Level Exposures to Oil and Gas Development in the United States.

Erin J Campbell, Martha R Koenig, Fintan A Mooney, Cassandra J Clark, David J X González, Nicole C Deziel, Joan A Casey, Jonathan J Buonocore, Mary D Willis

Abstract readReview
In one paragraph

Review in Current environmental health reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Erin J CampbellDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Martha R KoenigDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Fintan A MooneyDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Cassandra J ClarkDivision of Pediatric Epidemiology & Clinical Research, Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, USA.
David J X GonzálezDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Nicole C DezielDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Joan A CaseyDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA.
Jonathan J BuonocoreDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Mary D WillisDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA. mwillis1@bu.edu.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
Translational Pediatric Cancer Epidemiology Research Training GrantT32CA099936 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Logan G. Spector · 2004 to 2026
$5.1M
A Preconception Cohort Study on Oil and Gas Development, Fertility, and PregnancyDP5OD033415 · OD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WILLIS, MARY D · 2022 to 2025
$2.2M
The Impact of Unconventional Natural Gas Development on Maternal, Perinatal, and Childhood Health: an Electronic Health Record ApproachR00ES027023 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CASEY, JOAN A · 2019 to 2021
$747k
NCI NIH HHS T32 CA099936NICHD NIH HHS P2C HD042828NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R00 ES027023NIH HHS DP5 OD033415NIH HHS DP5-OD033415NIH HHS R00-ES027023Wellcome Trust
6 · The paper itself

Abstract

purpose of reviewOil and gas development is a rapidly expanding industry that may impact population health. However, much of the research to date is conducted state-by-state, partially due to exposure data limitations. New developments related to national-scale oil and gas development data sources offer the opportunity to extend studies beyond single-state analyses. We review the current data options, highlighting their advantages, disadvantages, and ideal use-cases. RECENT

findingsFive data sources suitable for national-scale epidemiologic analyses of oil and gas development were identified. Private sector data offer detailed production information but have limited accessibility. Nongovernmental sources are often specialized, focusing on specific aspects like chemical or methane exposure. Government agency data, while typically less detailed, provide useful linkage tools for cross-industry analysis. This review clarifies the strengths and limitations of these sources, facilitating national-level exposure assessment and broadening the geographic reach of oil and gas development-related epidemiology in the U.S.

Indexed as

Environmental ExposureEnvironmental MonitoringOil and Gas IndustryHumansInformation SourcesSpatio-Temporal AnalysisUnited StatesEnergy EpidemiologyEnvironmental HealthNatural Gas DevelopmentOil DevelopmentSpatial Epidemiology

Identifiers

PMID40263220
PMCPMC12308367

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.